Robust image binarization with ensembles of thresholding algorithms

Journal of Electronic Imaging

Volumn 15, Issue 2, 2006, Pages

  Melgani, Farid ^a  

^a UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE BINARIZATION; IMAGE STATISTICAL CHARACTERISTICS; MARKOV RANDOM FIELD (MRF); THRESHOLDING ALGORITHMS;

ALGORITHMS; FEATURE EXTRACTION; FUZZY SETS; MARKOV PROCESSES; OPTIMIZATION; STATISTICAL METHODS;

IMAGE PROCESSING;

EID: 33748042635     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.2194767     Document Type: Article

References (31)

1. J. S. Weszka and A. Rosenfeld, "Histogram modification for threshold selection," IEEE Trans. Syst. Man Cybern. 9, 38-52 (1979).
2. J. Kittler and J. Illingworth, "Minimum error thresholding," Pattern Recogn. 19, 41-47 (1986).
3. W. Snyder, G. Bilbro, A. Logenthiran, and S. Rajala, "Optimal thresholding - a new approach," Pattern Recogn. Lett. 11, 803-809 (1990).
4. N. Otsu, "A threshold selection method from gray-level histogram," IEEE Trans. Syst. Man Cybern. 9, 62-66 (1979).
5. W. Tsai, "Moment-preserving thresholding: a new approach," Comput. Vis. Graph. Image Process. 29, 377-393 (1985).
6. J. N. Kapur, P. K. Sahoo, and A. K. C. Wong, "A new method for gray-level picture thresholding using the entropy of the histogram," Comput. Vis. Graph. Image Process. 29, 273-285 (1985).
7. A. Brink, "Maximum entropy segmentation based on the autocorrelation function of the image histogram," J. Comput. Inf. Technol. 2, 77-85 (1994).
8. S. K. Pal, R. A. King, and A. A. Hashim, "Automatic gray level thresholding through index of fuzziness and entropy," Pattern Recogn. Lett. 1, 141-146 (1983).
9. L. K. Huang and M. J. Wang, "Image thresholding by minimizing the measures of fuzziness," Pattern Recogn. 28, 41-51 (1995).
10. N. R. Pal and S. K. Pal, "A review on image segmentation techniques," Pattern Recogn. 26, 1277-1294 (1993).
11. M. Sezgin and B. Sankur, "Survey over image thresholding techniques and quantitative performance evaluation," J. Electron. Imaging 13, 146-165 (2004).
12. F. Melgani, G. Moser, and S. B. Serpico, "Unsupervised change detection methods for remote sensing images," Opt. Eng. 41, 3288-3297 (2002).
13. L. Hansen and P. Salamon, "Neural networks ensembles," IEEE Trans. Pattern Anal. Mach. Intell. 12, 993-1001 (1990).
14. T. K. Ho, J. J. Hull, and S. N. Srihari, "Decision combination in multiple classifier systems," IEEE Trans. Pattern Anal. Mach. Intell. 16, 66-75 (1994).
15. J. A. Benediktsson, J. R. Sveinsson, and P. H. Swain, "Hybrid consensus theoretic classification," IEEE Trans. Geosci. Remote Sens. GE-35, 833-843 (1997).
16. K. Woods, K. Bowyer, and W. P. Kegelmeyer, "Combination of multiple classifiers using local accuracy estimates," IEEE Trans. Pattern Anal. Mach. Intell. 19, 405-410 (1997).
17. J. Kittler, M. Hatef, R. P. W. Duin, and J. Matas, "On combining classifiers," IEEE Trans. Pattern Anal. Mach. Intell. 20, 226-239 (1998).
18. L. I. Kuncheva, "A theoretical study on six classifier fusion strategies," IEEE Trans. Pattern Anal. Mach. Intell. 24, 281-286 (2002).
19. Y. Freund and R. E. Shapire, "Experiments with a new boosting algorithm," in Proc. 13th Int. Conf. Machine Learning (1996).
20. R. E. Shapire, Y. Freund, P. Bartlett, and W. S. Lee, "Boosting the margin: a new explanation for the effectiveness of voting methods," Proc. 14th Int. Conf. Machine Learning (1997).
21. L. Breiman, "Bagging predictors," Technical Report 421, Dept. of Statistics, Univ. of California at Berkeley (1994).
22. L. I. Kuncheva, "Fuzzy versus nonfuzzy in combining classifiers designed by boosting," IEEE Trans. Fuzzy Syst. 11, 729-741 (2003).
23. D.-S. Lee and S. N. Srihari, "Handprinted digit recognition: a comparison of algorithms," in Proc. 3rd Int. Workshop Frontiers Handwriting Recognition, pp. 153-162, Buffalo, NY (1993).
24. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images," IEEE Trans. Pattern Anal. Mach. Intell. 6, 721-741 (1984).
25. G. R. Cross and A. K. Jain, "Markov random field texture models" IEEE Trans. Pattern Anal. Mach. Intell. 5, 25-39 (1983).
26. S. Krishnamachari and R. Chellappa, "Multiresolution Gauss-Markov random field models for texture segmentation," IEEE Trans. Image Process. 6, 251-267 (1997).
27. Z. Kato, J. Zerubia, and M. Berthod, "Unsupervised parallel image classification using markovian models," Pattern Recogn. 32, 591-604 (1999).
28. A. H. S. Solberg, T. Taxt, and A. K. Jain, "A Markov random field model for classification of multisource satellite imagery," IEEE Trans. Geosci. Remote Sens. GE-34, 100-113 (1996).
29. F. Melgani and S. B. Serpico, "A Markov random field approach to spatio-temporal contextual image classification," IEEE Trans. Geosci. Remote Sens. GE-41, 2478-2487 (2003).
30. R. C. Dudes and A. K. Jain, "Random field models in image analysis" J. Appl. Stat. 16, 131-163 (1989).
31. V. Kolmogorov and R. Zabih, "What energy functions can be minimized via graph cuts?," IEEE Trans. Pattern Anal. Mach. Intell. 26, 147-159 (2004).